Alternatives and similar repositories for MC-GRA

Users that are interested in MC-GRA are comparing it to the libraries listed below

• tmlr-group / MC-GRA
  [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
  ☆33Updated last year
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• warriors-30 / SFAT-paddle
  ☆24Updated 2 years ago
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆11Updated 4 months ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• SongYYYY / KDD22-OODGAT
  This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
  ☆23Updated 2 years ago
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆38Updated 3 months ago
• wujcan / GIF-torch
  ☆25Updated 2 years ago
• MartinPawel / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆27Updated last year
• tmlr-group / RGIB
  [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"
  ☆10Updated last year
• David-Li0406 / AI-Supervision-Risk
  ☆21Updated 3 months ago
• ventr1c / RES-GCL
  An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)
  ☆10Updated last year
• LoadingByte / are-gnn-defenses-robust
  Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…
  ☆29Updated 2 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆76Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆35Updated 6 months ago
• NUS-HPC-AI-Lab / GEOM
  Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"
  ☆24Updated last year
• WEIYanbin1999 / GITA
  [NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning
  ☆49Updated 8 months ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆32Updated 2 years ago
• devnkong / GOAT
  Official implementation of GOAT model (ICML2023)
  ☆38Updated 2 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• Samyu0304 / LiSA
  Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD fram…
  ☆17Updated 2 years ago
• zaixizhang / CBD
  Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"
  ☆26Updated 2 years ago
• oceanoceanna / LLMEraser
  ☆10Updated 4 months ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆22Updated 2 years ago
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆40Updated last year
• amazon-science / doscond
  ☆19Updated 2 years ago
• wxr99 / HolisticPU
  Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]
  ☆9Updated last year
• Cyrus9721 / Characterizing_graph_influence
  ☆9Updated 2 years ago
• vasishtduddu / GraphLeaks
  Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020
  ☆15Updated 3 years ago